Governance, Risk & Compliance: GRC
When to Address AI Voice Translations in Your Compliance Training Maturity Model
Artificial Intelligence (AI) holds immense promise. However, its integration across various sectors is fraught with challenges. As we celebrate World AI Day this July 16th, it’s crucial to acknowledge and address hurdles to harness AI’s full potential. The challenge? Not-yet-mature companies often jump into AI too soon. One key area where AI’s limitations become evident? Translations—particularly AI voice translations—present unique challenges that many organizations still grapple with.
For example, McDonald’s is ending testing of AI-powered drive-thru voice ordering due to complaints and issues with the system frequently misunderstanding or mistaking customers’ orders.
AI translations present specific difficulties, particularly for companies not yet mature in AI adoption. Many organizations find that relying heavily on AI for translations can lead to subpar results. Voice translations may be costly to execute well. They often fail to meet quality expectations, sounding unrealistic and unusable.
Amazon created an AI tool to help screen job applications automatically. However, they found out that the tool was biased against women because it learned from past data that men were more common in tech jobs. This shows how important it is to check and correct AI systems regularly to avoid bias from the training data. Early adoption in the AI maturity model is crucial.
The Solution: Understand AI Voice Translations in Relation to Your Compliance Training Maturity Model
Let’s turn to the Compliance Training Maturity Model, which serves as a diagnostic tool to help organizations assess the sophistication and integration of their training curriculum with risk management best practices. This model serves as a roadmap for continuous improvement, ensuring that training efforts are compliant and contribute significantly to the organization’s overall risk management strategy.
Organizations must carefully plan and implement AI solutions early on in their Compliance Training Maturity Model journey, rather than leaning on them prematurely.
High-maturity learning programs excel in mitigating people risk by aligning employee behaviors with compliance standards and corporate values. Why? These programs are more closely integrated with overall risk management, addressing evolving risk profiles and market expectations, including Environmental, Social, and Governance (ESG) objectives. Advanced models accrue actionable data above and beyond training completion rates, showcasing the impact of training on compliance and business operations.
Additionally, as organizations progress in their Compliance Training Maturity Model journey, it becomes crucial to draft and implement comprehensive AI policies. These policies help mitigate legal and compliance risks, particularly concerning privacy issues. Without clear AI policies, organizations may face significant legal challenges and compliance issues, undermining their risk management strategies. Ensuring that AI policies are in place and regularly updated is essential for maintaining compliance and leveraging AI effectively within the organization.
How SAI360 Can Help Your Organization Navigate AI Challenges
SAI360 offers robust solutions to help organizations navigate these AI challenges. With our integrated GRC and Learning platforms, SAI360 empowers businesses to manage risks and compliance while effectively incorporating AI. Our recent product launch advancements highlight the potential of AI when used responsibly. SAI360’s AI-driven tools provide valuable insights and streamline processes, ensuring that AI is a beneficial addition rather than a liability.
Final Thoughts
The need for early and strategic implementation of AI is critical. Organizations must integrate AI with proper oversight to ensure accuracy and context. This involves implementing AI solutions while maintaining a balance with human input to oversee and refine these systems.
As organizations progress in their Compliance Training Maturity Model journey, it becomes essential to integrate AI training, policies, and requirements. Although most current models focus on the intersection of training and risk, there is significant room for incorporating AI-specific elements. The rollout of the EU AI Act, which mandates training on AI use, will likely set the precedent, and similar regulations may follow in other regions, including the U.S. However, organizations need not wait for formal regulations to develop their AI strategies. By proactively incorporating AI training and risk management into their compliance frameworks, organizations can better prepare for future regulatory landscapes and ensure the responsible and effective use of AI.
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References:
https://abcnews.go.com/Business/wireStory/mcdonalds-ending-test-run-ai-powered-drive-thrus-111219617
